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Mathematical Biology: What is it?

Modelling life. Biology is the science of life. Mathematical biology transforms the processes of living systems into model systems of equations. Mathematical analysis of these models helps us to understand the roles and interactions of different components of the system. These relationships are often complex and surprising! We can also use models to make predictions and conduct experiments. Mathematical biology spans all areas of the life sciences, from molecular biochemistry to ecology. In Bath our expertise is in population dynamics, including human and wildlife epidemiology, ecology and evolution.  

Bath Centre for Mathematical Biology

The Centre was set up in 1994 to facilitate interdisciplinary collaboration between mathematicians, biologists and other scientists at the University of Bath. Its membership includes about twenty academic staff, their postdoctoral researchers and postgraduate students.

Mailing List

You can subscribe to our mailing list for information about CMB seminars and other events. Send a message to from the address you want to subscribe. In the subject line type: subscribe cmb Firstname Surname (replacing the names with your own). Leave the message body blank.


Undergraduate Mathematical Biology

We run three units for Univeristy of Bath maths undergraduates: Mathematical Biology 1 and 2 and Mathematical Modelling in Epidemiology, Ecology and Evolution. We run two units for University of Bath biology undergraduates: Modelling the Dynamics of Life 1 and 2. We are also happy to supervise maths undergraduate projects.

Postgraduate Mathematical Biology

There is a vibrant mathematical biology PhD research community in the CMB. We supervise projects in a range of topics from epidemiology, ecology, evolution and pharmacokinetics. PhD applications from well qualified candidates are always welcome.

Research Visits

We welcome visits from academics, researchers and potential students. If you would like to come, contact a member with similar interests to your own.


26-29 August 2013: Nick Britton (plenary), Mickael Teixeira Alves and Daniel Franco speaking, Frank Hilker and Daniel Franco organising a minisymposium, at MPDE13 (Models in Population Dynamics and Ecology 2013), Osnabrueck, Germany.

July 2013: Jose Morano (Universitat Politècnica de València, Spain) visiting to collaborate on epidemiological modelling.

14 June 2013: Nick Britton invited attendee at the CanPolIn (Canadian Pollination Initiative) workshop in Arizona.

10-13 June 2013: Nick Britton, Finn McQuaid and Hannah Woodall presenting at the annual SMB meeting in Tempe, Arizona.

May - July 2013: Jorge Falcon (Instituto Nacional de Salud Publica, Morelos, Mexico) visiting as part of his PhD, to study with Ben Adams on dengue epidemiology.

April 2013: Nick Britton speaking to the Edinburgh Mathematial Society at the University of Stirling. 

February 2013 - September 2014: Mickael Teixeira-Alves will join the CMB as a visiting postdoc from INRA/INRIA Sophia Antipolis (France) to work with Frank Hilker on modelling pest control


January 2013: Publication in Journal of Theoretical Biology, "Predator-prey oscillations can shift when diseases become endemic", co-authored by Andrew Bate and Frank Hilker

January 20-27, 2013: Eduardo Liz (University of Vigo, Spain) visiting to collaborate with Frank Hilker and Daniel Franco on chaos control

October 2012: Katy Gaythorpe, Jennifer Jones and Andrew Woodford join the CMB as PhD students. Katy will be working with Ben Adams on models for improving the contorl of infectious diseases after natural disasters. Jennifer and Andrew will be working on pharmacokinetic models for non-invasive drug monitoring.

Septmber 2012 - August 2013: Daniel Franco from UNED (Universidad Nacional de Educacion a Distancia, Madrid) visiting.

September 10 -13, 2012: MPDE12 (Models in Population Dynamics and Ecology 2012) conference, Santa Maria, Brazil. Nick Britton giving plenary talk. 

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or Centre for Mathematical Biology, Department of Mathematics, University of Bath, Bath BA2 7AY Tel: +44 (0) 1225 386005· E-mail:

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